Available now! Telegram Research 2025 β the year's key insights 
TCW - AI & Coding Resources ππ¨βπ»
Open in Telegram
β¨ Latest AI Tools β Stay ahead with cutting-edge AI innovations π€―β‘ βΉοΈ Free Coding Cheat Sheets π» π Free Courses & Tutorials π β‘Use the Get Code Button to download the code π© DM @saiid211 for business inquiries https://telega.io/c/the_coding_wizard
Show moreπ Analytical overview of Telegram channel TCW - AI & Coding Resources ππ¨βπ»
Channel TCW - AI & Coding Resources ππ¨βπ» (@the_coding_wizard) in the English language segment is an active participant. Currently, the community unites 188 052 subscribers, ranking 583 in the Technologies & Applications category and 959 in the India region.
π Audience metrics and dynamics
Since its creation on Π½Π΅Π²ΡΠ΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 188 052 subscribers.
According to the latest data from 14 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -2 065 over the last 30 days and by -59 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 7.24%. Within the first 24 hours after publication, content typically collects 2.20% reactions from the total number of subscribers.
- Post reach: On average, each post receives 13 632 views. Within the first day, a publication typically gains 4 148 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 17.
- Thematic interests: Content is focused on key topics such as the_coding_wizard, wizard_project, mi6, canva, christmas.
π Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
ββ¨ Latest AI Tools β Stay ahead with cutting-edge AI innovations π€―β‘
βΉοΈ Free Coding Cheat Sheets π»
π Free Courses & Tutorials π
β‘Use the Get Code Button to download the code
π© DM @saiid211 for business inquiries
https://telega.io/c/the_coding_w...β
Thanks to the high frequency of updates (latest data received on 15 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.
188 052
Subscribers
-5924 hours
-5457 days
-2 06530 days
Posts Archive
Animated Navbar π
πCode available via the Get Code button below π
the_coding_wizardπ€© #Wizard_Projects
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πCode available via the Get Code button below π
the_coding_wizardπ€© #Wizard_Projects
π° Python Detailed Roadmap π
π 1. Basics
βΌ Data Types & Variables
βΌ Operators & Expressions
βΌ Control Flow (if, loops)
π 2. Functions & Modules
βΌ Defining Functions
βΌ Lambda Functions
βΌ Importing & Creating Modules
π 3. File Handling
βΌ Reading & Writing Files
βΌ Working with CSV & JSON
π 4. Object-Oriented Programming (OOP)
βΌ Classes & Objects
βΌ Inheritance & Polymorphism
βΌ Encapsulation
π 5. Exception Handling
βΌ Try-Except Blocks
βΌ Custom Exceptions
π 6. Advanced Python Concepts
βΌ List & Dictionary Comprehensions
βΌ Generators & Iterators
βΌ Decorators
π 7. Essential Libraries
βΌ NumPy (Arrays & Computations)
βΌ Pandas (Data Analysis)
βΌ Matplotlib & Seaborn (Visualization)
π 8. Web Development & APIs
βΌ Web Scraping (BeautifulSoup, Scrapy)
βΌ API Integration (Requests)
βΌ Flask & Django (Backend Development)
π 9. Automation & Scripting
βΌ Automating Tasks with Python
βΌ Working with Selenium & PyAutoGUI
π 10. Data Science & Machine Learning
βΌ Data Cleaning & Preprocessing
βΌ Scikit-Learn (ML Algorithms)
βΌ TensorFlow & PyTorch (Deep Learning)
π 11. Projects
βΌ Build Real-World Applications
βΌ Showcase on GitHub
π 12. β
Apply for Jobs
βΌ Strengthen Resume & Portfolio
βΌ Prepare for Technical Interviews
Like for more β€οΈπͺ
Animated Logout Button π€©
πCode available via the Get Code button below π
the_coding_wizardπ€© #Wizard_Projects
π Roadmap to Become a Cloud Engineer
π Fundamentals & Core Skills
ββπ Master Programming (Python, Bash, etc.) & OOP
βββπ Learn Networking & Operating Systems
ββββπ Get comfortable with Linux & Command Line Tools
π Cloud Platforms
ββπ Get familiar with AWS, Azure, or GCP
βββπ Understand core services (Compute, Storage, Networking)
ββββπ Hands-on labs & free tier projects
π DevOps & Automation
ββπ Learn CI/CD (Jenkins, GitHub Actions)
βββπ Containerization (Docker, Kubernetes)
ββββπ Automate deployments & monitoring
π Infrastructure as Code (IaC)
ββπ Master tools like Terraform & CloudFormation
βββπ Learn versioning & automation of infrastructure
ββββπ Build repeatable, scalable cloud architectures
π Cloud Security & Best Practices
ββπ Understand Identity & Access Management (IAM)
βββπ Learn security best practices for the cloud
ββββπ Implement monitoring & incident response
π Projects & Real-World Experience
ββπ Build end-to-end cloud solutions
βββπ Deploy scalable web apps
ββββπ Document & share your projects on GitHub
π Certifications & Continuous Learning
ββπ Earn cloud certifications (AWS, Azure, GCP)
βββπ Attend webinars, courses & community meetups
ββββπ Stay updated with emerging trends
β
οΈ Get Hired
React β€οΈ for More π¨βπ»
Login & Search Popup π
πCode available via the Get Code button below π
the_coding_wizardπ€© #Wizard_Projects
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π Freelancers & Devs! Whatβs your biggest challenge when deploying projects? π«
π Roadmap to Become a Machine Learning Engineer π»
π Programming Basics
ββπ Master Python & OOP
βββπ Learn Data Structures & Algorithms
ββββπ Master Git & Version Control
π Mathematics for ML
ββπ Linear Algebra & Calculus
βββπ Probability & Statistics
ββββπ Optimization Techniques
π Data Handling & Processing
ββπ Work with Pandas & NumPy
βββπ Data Cleaning & Preprocessing
ββββπ Feature Engineering & Selection
π Machine Learning Fundamentals
ββπ Understand Supervised & Unsupervised Learning
βββπ Master Scikit-Learn & ML Algorithms
ββββπ Model Training, Evaluation & Tuning
π Deep Learning & Neural Networks
ββπ Learn TensorFlow & PyTorch
βββπ Build & Train Neural Networks
ββββπ Master CNNs, RNNs & Transformers
π ML System Deployment
ββπ Learn Model Deployment (Flask, FastAPI)
βββπ Work with MLOps & Cloud Platforms
ββββπ Deploy Models to Production
π Projects & Real-World Applications
ββπ Build End-to-End ML Projects
βββπ Work on Open-Source Contributions
ββββπ Showcase on GitHub & Kaggle
π Interview Preparation & Job Hunting
ββπ Solve ML Coding Challenges
βββπ Learn System Design for ML
ββββπ Network & Apply for Jobs
β
οΈ Get Hired
React "β€οΈ" for More π¨βπ»
The Cube Code βΉοΈ
πCode available via the Get Code button below π
the_coding_wizardπ€© #Wizard_Projects
π Roadmap to Master Full-Stack Development π°
π Frontend Development
ββπ Learn HTML, CSS & JavaScript
βββπ Master CSS Frameworks (Bootstrap, Tailwind)
ββββπ Understand JavaScript ES6+ & DOM Manipulation
π Modern Frontend Frameworks
ββπ Learn React.js (or Vue.js, Angular)
βββπ Manage State with Redux, Context API
ββββπ Optimize Performance & SEO (SSR, CSR)
π Backend Development
ββπ Learn Python (Flask, Django) or Node.js (Express.js)
βββπ Work with RESTful APIs & Authentication (JWT, OAuth)
ββββπ Understand Middleware & Database Integration
π Databases & Storage
ββπ SQL (PostgreSQL, MySQL) & NoSQL (MongoDB, Firebase)
βββπ ORM & Query Optimization (SQLAlchemy, Mongoose)
ββββπ Caching & Performance Tuning (Redis, Memcached)
π Version Control & Deployment
ββπ Master Git & GitHub for Collaboration
βββπ Learn CI/CD (GitHub Actions, Jenkins)
ββββπ Deploy on Vercel, Netlify, AWS, or DigitalOcean
π Advanced Topics
ββπ WebSockets & Real-Time Apps (Socket.io, WebRTC)
βββπ GraphQL & API Optimization
ββββπ Microservices & Serverless Architecture
π Full-Stack Projects & Portfolio
ββπ Build & Deploy Full-Stack Applications
βββπ Contribute to Open Source
ββββπ Showcase Work on GitHub & Portfolio
π Interview Preparation & Job Hunting
ββπ Master Full-Stack Coding Challenges
βββπ Prepare for System Design Interviews
ββββπ Network & Apply for Full-Stack Roles
β
Happy Coding! π
React "β€οΈ" for More π¨βπ»
π Roadmap to Master Python Programming π°
π Python Fundamentals
ββπ Learn Syntax, Variables & Data Types
βββπ Master Control Flow & Functions
ββββπ Practice with Simple Projects
π Intermediate Concepts
ββπ Object-Oriented Programming (OOP)
βββπ Work with Modules & Packages
ββββπ Understand Exception Handling & File I/O
π Data Structures & Algorithms
ββπ Lists, Tuples, Dictionaries & Sets
βββπ Algorithms & Problem Solving
ββββπ Master Recursion & Iteration
π Python Libraries & Tools
ββπ Get Comfortable with Pip & Virtual Environments
βββπ Learn NumPy & Pandas for Data Handling
ββββπ Explore Matplotlib & Seaborn for Visualization
π Web Development with Python
ββπ Understand Flask & Django Frameworks
βββπ Build RESTful APIs
ββββπ Integrate Front-End & Back-End
π Advanced Topics
ββπ Concurrency: Threads & Asyncio
βββπ Learn Testing with PyTest
ββββπ Dive into Design Patterns
π Projects & Real-World Applications
ββπ Build Command-Line Tools & Scripts
βββπ Contribute to Open-Source
ββββπ Showcase on GitHub & Portfolio
π Interview Preparation & Job Hunting
ββπ Solve Python Coding Challenges
βββπ Master Data Structures & Algorithms Interviews
ββββπ Network & Apply for Python Roles
β
οΈ Happy Coding
React "β€οΈ" for More π¨βπ»
Login Form π
πCode available via the Get Code button below π
the_coding_wizardπ€© #Wizard_Projects
π Roadmap to Become a Machine Learning Engineer
π Programming Basics
ββπ Master Python & OOP
βββπ Learn Data Structures & Algorithms
ββββπ Master Git & Version Control
π Mathematics for ML
ββπ Linear Algebra & Calculus
βββπ Probability & Statistics
ββββπ Optimization Techniques
π Data Handling & Processing
ββπ Work with Pandas & NumPy
βββπ Data Cleaning & Preprocessing
ββββπ Feature Engineering & Selection
π Machine Learning Fundamentals
ββπ Understand Supervised & Unsupervised Learning
βββπ Master Scikit-Learn & ML Algorithms
ββββπ Model Training, Evaluation & Tuning
π Deep Learning & Neural Networks
ββπ Learn TensorFlow & PyTorch
βββπ Build & Train Neural Networks
ββββπ Master CNNs, RNNs & Transformers
π ML System Deployment
ββπ Learn Model Deployment (Flask, FastAPI)
βββπ Work with MLOps & Cloud Platforms
ββββπ Deploy Models to Production
π Projects & Real-World Applications
ββπ Build End-to-End ML Projects
βββπ Work on Open-Source Contributions
ββββπ Showcase on GitHub & Kaggle
π Interview Preparation & Job Hunting
ββπ Solve ML Coding Challenges
βββπ Learn System Design for ML
ββββπ Network & Apply for Jobs
β
οΈ Get Hired
React "β€οΈ" for More π¨βπ»
π° Accent color in CSS
This CSS property allows you to customize the highlight color of form controls while preserving their native styling, accessibility, and interactivity.
Rating And Form π
πCode available via the Get Code button below π
the_coding_wizardπ€© #Wizard_Projects
Python Roadmap π
π Syntax Basics
βπ Data Structures
ββπ Algorithms
βββπ OOP Concepts
ββββπ Module & Packages
βββββπ Error Handling
ββββββπ File Handling
βββββββπ Networking
ββββββββπ Security
βββββββββπ Do Lab
ββββββββ ββ
Job
React "β€οΈ" For More
Credit Card Animation π³
πCode available via the Get Code button below π
the_coding_wizardπ€© #Wizard_Projects
